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VVH 2016 - 1st International Workshop on

"Valuable visualization of healthcare information":

from the quantified self data to conversations.

Workshop on June 7 at AVI 2016 – June 7-10, 2016 – Bari, Italy

The workshop focuses on the role of interactive data visualization tools (including configurable dashboards and Web-based interfaces) by which people can gain insight from healthcare data. These data encompass the output of sensors, the structured and unstructured content of hospital records, patient records, diaries, as well as messages exchanged within vertical social media, email correspondences between patients and their doctors, and clinical discussions among different specialists. On the other hand, the intended users of these tools encompass clinicians, nurses, managers of healthcare facilities and agencies, policy makers and common citizens. The variety of the health content at hand, the heterogeneity of the users involved and, above all, their lay nature with respect to data-oriented and e-literacy skills call for tools that are easy-to-use, easy-to-learn, and tailorable to multiple contexts and situations of unintended goals and needs.

The study and design of these tools should be covered by a multidisciplinary field that is still in its infancy and has been recently dubbed Human-Data Interaction, being at the intersection of Data Visualization and Human-Computer Interaction. This workshop solicits contributions on how to either visualize health data in innovative ways, or visualize innovative health data in traditional (yet effective) manners; as well as on how to define and assess the usability of advanced interactive tools of data visualization, their role in appropriate decision making and coordination, and the quality of the information these tools make available for its interpretation, including the underlying motivations and arguments that foster continuity of care and decision-making on-the-go.

The workshop also solicits contributions reporting cases of successful appropriation by lay people and end users as well as failures in empowering them in making sense of complex and multidimensional healthcare datasets.

Finally we are interested in methodological and design-oriented contributions that could share user-centered and activity-centered methods, techniques, and heuristics for the design of interactive data visualization tools and applications supporting data work, data telling and data interpretation.

TOPICS OF INTERESTS

The topics of interest include (but are not limited to) the following ones: